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Constructing interconnected spherical hollow conductive networks in silver platelets/reduced graphene oxide foam/epoxy nanocomposites for superior electromagnetic interference shielding effectiveness

Abstract

How to significantly increase the electromagnetic interference (EMI) shielding performances by improving the electrical conductivities is still a serious challenge. Herein, we have explored and prepared a 3D silver platelets/reduced graphene oxide foam (AgPs/rGF) with numerous regular spherical hollow structures, which ingeniously achieved uniform dispersion of the AgPs along 3D rGO network via sol-gel template method. Combining AgPs/rGF with epoxy resin (EP), the 3D AgPs/rGF/EP nanocomposites with highly regular segregated structures were successfully fabricated. Due to interconnected spherical hollow conductive networks of the AgPs/rGF and the interfacial synergy between AgPs/rGF and EP, the 3D AgPs/rGF/EP nanocomposites containing 0.44 vol% rGF and 0.94 vol% AgPs show the maximum EMI shielding effectiveness (SE) value of 58 dB at X-band (shielding 99.9998% of incident electromagnetic waves), 274% improvement in comparison to that of 3D rGF/EP nanocomposites (~21 dB). The corresponding electrical conductivity improves from 0.1 to 45.3 S/m, dielectric loss increases from ~0.6 to ~0.8. In addition, the theoretical minimum skin depth of the 3D AgPs/rGF/EP nanocomposites is calculated by analyzing skin effect. It provides a guideline for fabricating lightweight, thin and multi-functional shielding nanocomposites in the key fields of spacecraft and high precision electronics.

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Supplementary files

Publication details

The article was received on 16 Jul 2019, accepted on 27 Oct 2019 and first published on 28 Oct 2019


Article type: Paper
DOI: 10.1039/C9NR06022G
Nanoscale, 2019, Accepted Manuscript

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    Constructing interconnected spherical hollow conductive networks in silver platelets/reduced graphene oxide foam/epoxy nanocomposites for superior electromagnetic interference shielding effectiveness

    C. Liang, P. Song, H. Qiu, Y. Zhang, X. Ma, F. Qi, H. Gu, J. Kong, D. Cao and J. Gu, Nanoscale, 2019, Accepted Manuscript , DOI: 10.1039/C9NR06022G

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